Siwei Tang

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Siwei Tang trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Timo Aila (in Computer Vision and Pattern Recognition)
  3. Samuli Laine (in Computer Vision and Pattern Recognition)
  4. Tero Karras (in Computer Vision and Pattern Recognition)
  5. Kaiming He (in Computer Vision and Pattern Recognition)
  6. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  7. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Siwei Tang's perspective

Ordered by how strongly the researchers Siwei Tang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. GENERATIVE ADVERSARIAL NETS
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Learning Face Attributes in the Wild
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
  8. Gradient-based learning applied to document recognition
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Progressive Growing of GANs for Improved Quality, Stability, and Variation

Their papers